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Automation of Pipe Welding Using Machine Vision and Adaptive Control

  • François Nadeau
  • Jacques Blain
  • Marc Dufour
Chapter
Part of the Review of Progress in Quantitative Nondestructive Evaluation book series

Abstract

If we think of the construction of an oil refinery, a chemical processing plant, a thermal power plant or even of a nuclear reactor, it is easy to see that pipe fitting is one of the most common operations in arc welding. In Canada alone, more than 50,000 tons of piping is assembled each year. Close to 70% of the joints are welded in pipe prefabrication shops with the assembly rotating on a positioner (1G position). Astonishingly, although this very repetitive process seems an ideal candidate for automation, most of it is still done manually using SMAW.

Keywords

Welding Speed Welding Parameter Travel Speed Welding Time Full Penetration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Morgan, C.G., Bromley, J.S.F., Davey, P.G., Viller, A.P. “Visual Guidance Techniques for Robot Arc-Welding”, Third Int. Conf. on Robot Vision and Sensory Controls, SPIE Vol. 449, Cambridge, Nov. 7–10, 1983.Google Scholar
  2. 2.
    Shende, V.A., “Linear Regression Modelling of GTAW for Developing a Real-Time Feedback Control”, CWR Technical Report 529501/-82–4, Ohio State University, 1982.Google Scholar
  3. 3.
    Nadeau, F., Fafard, P., Patenaude, G., Tremblay, J. “Method and Apparatus for Controlling Root Pass Weld Penetration in Open Butt Joints”, U.S. Patent # 4,733,051, March 22, 1988.Google Scholar

Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • François Nadeau
    • 1
  • Jacques Blain
    • 1
  • Marc Dufour
    • 2
  1. 1.TECNAR Automation Ltd.St. BrunoCanada
  2. 2.Industrial Materials Research InstituteNational Research Council CanadaBouchervilleCanada

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